Scale Problems in Hydrology
Scale Problems in Hydrology

Author: V.K. Gupta

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 250

ISBN-13: 9400946783

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A special workshop on scale problems in hydrology was held at Princeton University, Princeton, New Jersey, during October 31-November 3, 1984. This workshop was the second in a series on this general topic. The proceedings of the first workshop, held in Caracas, Venezuela, in January 1982, appeared in the Journal of Hydrology (Volume 65:1/3, 1983). This book contains the papers presented at the second workshop. The scale problems in hydrology and other geophysical sciences stem from the recognition that the mathematical relationships describing a physical phenomenon are mostly scale dependent in the sense that different relationships manifest at different space-time scales. The broad scientific problem then is to identify and for mulate suitable relationships at the scales of practical interest, test them experimen tally and seek consistent analytical connections between these relationships and those known at other scales. For example, the current hydrologic theories of evaporation, infiltration, subsurface water transport and water sediment transport overland and in channels etc. derive mostly from laboratory experiments and therefore generally apply at "small" space-time scales. A rigorous extrapolation of these theories to large spatial and temporal basin scales, as mandated by practical considerations, appears very difficult. Consequently, analytical formulations of suitable hydrologic theories at basin wide space-time scales and their experimental verification is currently being perceived to be an exciting and challenging area of scientific research in hydrology. In order to successfully meet these challenges in the future, this series of workshops was initiated.

Scale Issues in Hydrological Modelling
Scale Issues in Hydrological Modelling

Author: J. D. Kalma

Publisher: John Wiley & Sons

Published: 1995-09-11

Total Pages: 518

ISBN-13:

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There is a growing need for appropriate models which address the management of land and water resources and ecosystems at large space and time scales. Theories of non-linear hydrological processes must be extrapolated to large-scale, three-dimensional natural systems such as drainage basins, flood plains and wetlands. This book reports on recent progress in research on scale issues in hydrological modelling. It brings together 27 papers from two special issues of the journal Hydrological Processes. The book makes a significant contribution towards developing research strategies for linking model parameterisations across a range of temporal and spatial scales. The papers selected for this book reflect the tremendous advances which have been made in research into scale issues in hydrological modelling during the last ten years.

Distributed Hydrological Modelling
Distributed Hydrological Modelling

Author: Michael B. Abbott

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 323

ISBN-13: 9400902573

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It is the task of the engineer, as of any other professional person, to do everything that is reasonably possible to analyse the difficulties with which his or her client is confronted, and on this basis to design solutions and implement these in practice. The distributed hydrological model is, correspondingly, the means for doing everything that is reasonably possible - of mobilising as much data and testing it with as much knowledge as is economically feasible - for the purpose of analysing problems and of designing and implementing remedial measures in the case of difficulties arising within the hydrological cycle. Thus the aim of distributed hydrologic modelling is to make the fullest use of cartographic data, of geological data, of satellite data, of stream discharge measurements, of borehole data, of observations of crops and other vegetation, of historical records of floods and droughts, and indeed of everything else that has ever been recorded or remembered, and then to apply to this everything that is known about meteorology, plant physiology, soil physics, hydrogeology, sediment transport and everything else that is relevant within this context. Of course, no matter how much data we have and no matter how much we know, it will never be enough to treat some problems and some situations, but still we can aim in this way to do the best that we possibly can.

Evaluating Temporal and Spatial Scale Issues with Hydrologic Models in the Black Hills, South Dakota
Evaluating Temporal and Spatial Scale Issues with Hydrologic Models in the Black Hills, South Dakota

Author: Dol Raj Chalise

Publisher:

Published: 2013

Total Pages: 288

ISBN-13:

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The relative accuracy of rainfall runoff models is an important issue. Some models may perform better than others in specific scenarios (e.g. wet vs. dry climates; forested vs. agricultural land use; long vs. short time steps for simulation). Two widely used models were selected for comparison to simulate runoff for watersheds in the Black Hills of South Dakota. The two models, the Precipitation Runoff Modeling System (PRMS) and Hydrological Simulation Program Fortran (HSPF), are both semi-distributed, deterministic hydrological tools that simulate the impacts of precipitation, land use and climate on basin hydrology and streamflow. PRMS is primarily used by the U.S. Geological Survey (USGS) to simulate basin hydrology across the United States. HSPF is used by a larger base of public and government modelers to simulate basin hydrology, sediment processes, and water quality worldwide. One of the primary applications of this research is to help potential users select the more appropriate hydrologic model, HSPF or PRMS, when working with a specific size of watershed. Results indicate that HSPF better estimated annual, monthly, and daily water budget than the PRMS for a small watershed. HSPF better estimated annual water budget than the PRMS for a large watershed. PRMS better estimated monthly and daily water budget than HSPF for a large watershed when wet and dry periods were calibrated individually. The results indicate that the temporal and spatial scale variability influences the accuracy of HSPF and PRMS model simulations. The study indicates that an appropriate selection of a model for specific size of a watershed should be based on a specific hydrologic question that a user is seeking to answer.

Advanced Hydrologic Modeling in Watershed Scales
Advanced Hydrologic Modeling in Watershed Scales

Author: Dengfeng Liu

Publisher: Mdpi AG

Published: 2023-03-23

Total Pages: 0

ISBN-13: 9783036571157

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Hydrologic modeling at the watershed scale is a key topic in the field of hydrology. The hydrological model is an important tool in understanding the impact of climate change and human activities on rainfall-runoff processes, and especially on water resources for human beings in a changing environment. In the last two decades, with the development of satellite remote sensing and artificial intelligence, many new datasets and methods have been introduced into hydrological modeling. Hydrologic modeling at the watershed scale is an important and fundamental research field in hydrology. Therefore, we proposed a Special Issue entitled "Advanced Hydrologic Modeling in Watershed Scales" in Water to publish results regarding the recent progress in hydrological modeling at the watershed scale against global changes. Before the deadline for the submission of manuscripts to this Special Issue, we received many manuscripts regarding hydrological modeling at the watershed scale. In total, ten articles have been published in this Special Issue. Researchers interested in hydrological modeling and the impacts of environmental changes on water resources may be interested in this reprint.

Advances In Data-based Approaches For Hydrologic Modeling And Forecasting
Advances In Data-based Approaches For Hydrologic Modeling And Forecasting

Author: Bellie Sivakumar

Publisher: World Scientific

Published: 2010-08-10

Total Pages: 542

ISBN-13: 9814464759

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This book comprehensively accounts the advances in data-based approaches for hydrologic modeling and forecasting. Eight major and most popular approaches are selected, with a chapter for each — stochastic methods, parameter estimation techniques, scaling and fractal methods, remote sensing, artificial neural networks, evolutionary computing, wavelets, and nonlinear dynamics and chaos methods. These approaches are chosen to address a wide range of hydrologic system characteristics, processes, and the associated problems. Each of these eight approaches includes a comprehensive review of the fundamental concepts, their applications in hydrology, and a discussion on potential future directions.

Recent Advances in the Modeling of Hydrologic Systems
Recent Advances in the Modeling of Hydrologic Systems

Author: D.S Bowles

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 654

ISBN-13: 9401134804

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Modeling of the rainfall-runoff process is of both scientific and practical significance. Many of the currently used mathematical models of hydrologic systems were developed a genera tion ago. Much of the effort since then has focused on refining these models rather than on developing new models based on improved scientific understanding. In the past few years, however, a renewed effort has been made to improve both our fundamental understanding of hydrologic processes and to exploit technological advances in computing and remote sensing. It is against this background that the NATO Advanced Study Institute on Recent Advances in the Modeling of Hydrologic Systems was organized. The idea for holding a NATO ASI on this topic grew out of an informal discussion between one of the co-directors and Professor Francisco Nunes-Correia at a previous NATO ASI held at Tucson, Arizona in 1985. The Special Program Panel on Global Transport Mechanisms in the Geo-Sciences of the NATO Scientific Affairs Division agreed to sponsor the ASI and an organizing committee was formed. The committee comprised the co directors, Professor David S. Bowles (U.S.A.) and Professor P. Enda O'Connell (U.K.), and Professor Francisco Nunes-Correia (Portugal), Dr. Donn G. DeCoursey (U.S.A.), and Professor Ezio Todini (Italy).

Hydrological Modelling and the Water Cycle
Hydrological Modelling and the Water Cycle

Author: Soroosh Sorooshian

Publisher: Springer Science & Business Media

Published: 2008-07-18

Total Pages: 294

ISBN-13: 3540778438

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This volume is a collection of a selected number of articles based on presentations at the 2005 L’Aquila (Italy) Summer School on the topic of “Hydrologic Modeling and Water Cycle: Coupling of the Atmosphere and Hydrological Models”. The p- mary focus of this volume is on hydrologic modeling and their data requirements, especially precipitation. As the eld of hydrologic modeling is experiencing rapid development and transition to application of distributed models, many challenges including overcoming the requirements of compatible observations of inputs and outputs must be addressed. A number of papers address the recent advances in the State-of-the-art distributed precipitation estimation from satellites. A number of articles address the issues related to the data merging and use of geo-statistical techniques for addressing data limitations at spatial resolutions to capture the h- erogeneity of physical processes. The participants at the School came from diverse backgrounds and the level of - terest and active involvement in the discussions clearly demonstrated the importance the scienti c community places on challenges related to the coupling of atmospheric and hydrologic models. Along with my colleagues Dr. Erika Coppola and Dr. Kuolin Hsu, co-directors of the School, we greatly appreciate the invited lectures and all the participants. The members of the local organizing committee, Drs Barbara Tomassetti; Marco Verdecchia and Guido Visconti were instrumental in the success of the school and their contributions, both scienti cally and organizationally are much appreciated.